Wang 2021a.
| Study characteristics | ||
| Notes |
English title Clinical characteristics and outcome of novel coronavirus pneumonia patients with different body mass index Study setting Start of study recruitment (MM/YYYY): 01/2020 End of study recruitment (MM/YYYY): 03/2020 Study design: Retrospective cohort Study centre(s): Single centre/clinic/area within a country Number of centres, clinics or areas: 1 Study setting: Inpatient Number of participants recruited: 541 Sampling method: Consecutive participants Participants Female participants (absolute number): 245 Age measure, value: Median (IQR), 52 (43‐63) Inclusion criteria: Confirmed COVID‐19 patients Exclusion criteria: NR Smoking frequency: NR Diabetes frequency: 47 Hypertension frequency: 134 Cardiovascular disease frequency: 29 Asthma frequency: NR Chronic obstructive pulmonary disease frequency: NR Other pulmonary disease frequency: NR Immunosuppression frequency: NR Chronic kidney disease frequency: 4 Cancer frequency: 94 Steroid administration frequency: NR Supplemental oxygen administration frequency: NR Other treatments (frequency): NR Prognostic factor(s) Study’s definition for obesity: using BMI, Chinese Obese National Guideline 2004: normal weight: 18.5‐23.9 kg/m2, overweight 24 to 27.9kg/m2, obesity ≥ 28 kg/m2 The time when obesity has been measured: some time after presentation Main variable used for determination of obesity: BMI Threshold used for definition: 28 Obesity frequency (absolute number): 60 Prognostic factor(s): BMI continuous Outcome(s) Severe COVID Outcome (prognostic factor) Mortality (BMI continuous) Follow‐up Number of patients followed completely for the outcome: NR Number of obese patients followed completely for the outcome: NR Number of non‐obese patients followed completely for the outcome: NR Univariable unadjusted analysis for obesity Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 1.083 (1.021, 1.148), 0.0077 Multivariable analysis for obesity Modelling method: Logistic regression The set of prognostic factors used for adjustment: age, gender and underlying diseases (diabetes, hypertension, coronary heart disease, cerebrovascular disease, chronic kidney disease) Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 1.079 (1.01, 1.15), 0.025 |
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| Item | Authors' judgement | Support for judgement |
| Study Participation | No | Appendix 3 |
| Study Attrition Severe COVID | No | Appendix 3 |
| Prognostic Factor Measurement | No | Appendix 3 |
| Outcome Measurement Severe COVID | No | Appendix 3 |
| Confounding Bias Severe COVID | No | Appendix 3 |
| Statistical Analysis Bias | No | Appendix 3 |